000			03853nam a22003615i 4500
001			235408
003			ES-VaUE
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007			cr nn 008mamaa
008			100301s2008 xxu| s |||| 0|eng d
020			_a9781597455749
024	7		_a10.1007/978-1-59745-574-9 _2doi
040			_aES-MaUEC _bspa _cES-MaUEC
245	1	0	_aProtein Structure Prediction _cedited by Mohammed Zaki, Chris Bystroff.
250			_a2nd edition 2008
264		1	_aTotowa, NJ _bHumana Press _c2008
300			_a1 recurso en línea (XII, 337 páginas) _b69 ilustraciones
336			_atexto _btxt _2rdacontent
337			_aelectrónico _bc _2rdamedia
338			_arecurso electrónico _bcr _2rdacarrier
347			_aarchivo de texto _bPDF
490	0		_aMethods in Molecular Biology _x1940-6029 _v413
505	0		_aPreface -- Contributors -- I: Overview of Protein Structure Prediction -- A Historical Perspective of Template-Based Protein Structure PredictionJun-tao Guo, Kyle Ellrott, and Ying Xu -- The Assessment of Methods for Protein Structure PredictionAnna Tramontano, Domenico Cozzetto, Alejandro Giorgetti, and Domenico Raimondo -- II: Template-based Methods -- Aligning Sequences to StructuresLiam James McGuffin -- Protein Structure Prediction Using ThreadingJinbo Xu, Feng Jiao, and Libo Yu -- III: Structure Alignment and Indexing -- Algorithms for Multiple Protein Structure Alignment and Structure-Derived Multiple Sequence AlignmentMaxim Shatsky, Ruth Nussinov, and Haim J. Wolfson -- Indexing Protein Structures Using Suffix TreesFeng Gao and Mohammed J. Zaki -- IV: Protein Features Prediction -- Hidden Markov Models for Prediction of Protein FeaturesBystroff and Krogh -- The Pros and Cons of Predicting Protein Contact MapsLisa Bartoli, Emidio Capriotti, Piero Fariselli, Pier Luigi Martelli, and Rita Casadio -- Road Map Methods for Protein FoldingMark Moll, David Schwarz, and Lydia E. Kavraki -- Scoring Functions for De Novo Protein Structure Prediction RevisitedShing-Chung Ngan, Ling-Hong Hung, Tianyun Liu, and Ram Samudrala -- Protein--Protein Docking: Overview and Performance AnalysisKevin Wiehe, Matthew W. Peterson, Brian Pierce, Julian Mintseris, and Zhiping Weng -- Molecular Dynamics Simulations of Protein FoldingAngel E. Garcia.
520			_aFor forty years we have known the essential ingredients for protein folding - an amino acid sequence, and water. But the problem of predicting the three-dimensional structure from its sequence has eluded computational biologists even in the age of supercomputers and high throughput structural genomics. Despite the unsolved mystery of how a protein folds, advances are being made in predicting the interactions of proteins with other molecules, such as small ligands, nucleic acids or other proteins. Protein Structure Prediction focuses on the various computational methods for prediction, their successes and their limitations, from the perspective of their most well-known practitioners. Leaders in the field provide insights into template-based methods of prediction, structure alignment and indexing, protein features prediction, and methods for de novo structure prediction. Protein Structure Prediction is a cutting-edge text that all researchers in the field should have in their libraries.
700	1		_aZaki, Mohammed _eeditor literario _4edt _4http://id.loc.gov/vocabulary/relators/edt
700	1		_aBystroff, Chris _eeditor literario _4edt _4http://id.loc.gov/vocabulary/relators/edt
776	0	8	_iPrinted edition: _z9781617377570
776	0	8	_iPrinted edition: _z9781588297525
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-1-59745-574-9 _z(usuarios Universidad Europea de Valencia)
942			_2lcc _cLE
988			_aSpringer_Protocols_2008
999			_c235408 _d235408